Comparing Pareto Diagram Practicing Patterns

In the healthcare system, Core Measure sets are used to measure quality care. It consists of pneumonia, heart attack, immunizations, emergency department, sepsis, for infection prevention, and others. Evidence-based treatments are used to prevent occurrences using structures, processes, and outcomes. In nursing, they have adopted a similar method of performance measures, known as nursing-sensitive indicators. It includes falls, and this indicator is implemented in each unit of the hospital and managed by the manager and educator along with others like CAUTI and CALBSI. According to the American Hospital Association article (2015) “Falls with Injury,” Patient falls-an unplanned descent to the floor with or without injury to the patient affects between 700,000 and 1,000,000 patients each year.”

If there is a fall with injury, the manager has the ability to go back and check how long the call light was on prior to a fall. However, this information is not used to prevent and emphasize the relationship between the length of time a call light is on and the rate of fall. Most nurses and patient care technicians are not aware that the manager can back-track the call light and find out this information. To measure the rate of falls to the length of time a call light is answered, the nurse working on the project choose the histogram. This illustrates the length of time in the Y axis and the rate of falls in the X axis during the period of study (time frame). The histogram itself will include a control group, average answers, and delay answers to call light. This example was imported and modified from a previous study done comparing the numbers of call lights and nursing rounds by (Meade et al. 2006).

5) Graph the equation you wrote in step four superimposed over the original data. Comment on how well or how

To collect data for a scatter plot, the healthcare organization will need to have at least 50-100 paired samples of data that is associated with the scatter plot. The data can be placed into a spreadsheet and then you can plot the data points on the diagram. The spreadsheet can be developed in a MS Excel file then we can use the Excel program to create a scatter plot with all of our data.

The increase in patients falls and the number of patients that are fall risks has greatly increase. Part of this is due to the aging population. While there are many prevention methods in place, patients are continuing to experience falls. “Problem solving relies on decision-making, critical thinking, and/or clinical judgement” (Chamberlain College of Nursing, 2015). I recently had a patient that had two falls during his admission. I placed the patient on 1:1 observation. He was a fall risk due to his history, mental status, and medications (narcotic pain meds and antipsychotics). The patient did not fall again while I was at work. However, after my days off I came back and got report that the patient fell again. The patient had been taken

L. Holtz, a registered nurse (RN), mentions even with the use of tab alarms, residents still experience falls (personal communication, February 3, 2017). When a resident is first admitted into long term care, they undergo various assessments. One assessment is the Morse Fall Scale (MFS). The MFS is a rapid and simple method of assessing a patient’s likelihood of falling. It consists of six variables that include: history of falling, secondary diagnosis, ambulatory aid, intravenous (IV)/Heparin lock, gait/transferring, and mental status. There are three risk levels based on scoring: no risk, low risk, and high risk. L. Holtz pointed out interventions for high risk residents would include: tab alarms, floor alarms, and lower beds (personal communication, February 3, 2017). She also mentioned each resident is identified as a fall risk by a falling star poster which is attached to their name tag outside their door (L. Holtz, personal communication, February 3, 2017). Other interventions to reduce the occurrence of falls include: regular toileting, clutter-free areas, and well lighted area. Efforts and interventions are placed to assure the safety of the residents. However, even when these interventions are in place, falls still

The thirty data sets were plotted into a scatterplot and a linear regression analysis was used to show the

A pareto chart is considered as a bar graph where the bars look as if they are declining length from left to right. The length of the bar coincides with time, frequency, or amount. A health care organization can utilize a pareto chart when they want to discover the most important root cause or issues within a greater known group of problems. A pareto chart can also be utilized when observing the repetitiveness of problems within a procedure. The pareto chart is not complicated and a person needs little or no training at all. The advantages of the pareto chart is that it helps in “action prioritization.” It reveals the issues that seem to justify for a lot of the differences. It is not real hard to build the charts if you are utilizing spreadsheet

Reducing falls for hospitalized patients is a growing patient safety issue. This article describes the development, implementation, and evaluation of the I’M SAFE risk assessment tool and falls reduction

Scatterplot: A scatterplot is a graphed set of dots, where each dot represents the values of two variables. In Dr. Tabor’s study, these would be the levels of alertness and sleep. The placement of the points would indicate a positive or negative correlation, and the strength of the correlation. On one axis of the scatterplot she would put the levels of alertness and on the other she would put the amount of sleep in hours. Because the correlation coefficient is +0.89, we know that the correlation is a strong positive one. This means that the scatterplot would have very little scatter, and would be

Falls can be categorized into unanticipated physiologic, anticipated physiologic, accidental or intentional (as cited in Cox et al., 2015). Furthermore, the causes of inpatient falls include patients’ intrinsic and extrinsic risk factors as well as organizational or workforce factors (Cox et al., 2015). The methods of fall prevention are tailored to patients’ unique intrinsic or extrinsic risks; however, fall prevention tactics are not created for individual, they are used in various patient population (Cox et al., 2015). Moreover, the scale from the fall risk assessment tools, for example: Morse Falls Risk Assessment Scale and the Hendrich I Falls Risk Assessment Scale and, do not specify the type of fall for individual, making it hard to design or direct fall prevention approaches

The contents of the table will then be sketched as a graph for easy interpretation of the data collected.

These patients were identified from the data available from medical coding systems at Royal Victoria Hospital. The sampling methodology used to determine these 35 patients was stratified sampling. According to, (Yin, 2003), with stratified sampling, the population is categorized in different layers known as strata. Each level consists of individuals with homogeneous characteristics. Once the layers are created, either simple random sampling or systematic random sampling is used to make a sample from each stratum (Yin, 2003).

Falls are the leading cause of functional limitations in older adults. Approximately one in three community dwelling adults over 65 years old experience a fall each year 1, and falls account for approximately 40% of all death from injuries 2. The Timed Up and Go test (TUG) is a common test that is used to evaluate the risk of falling. However, it has been shown that the diagnostic accuracy of the TUG is limited in evaluating the elevated risk of falling in older adults 3. The long–term objective of this research is to improve the quality of the clinical measures that are used to detect the functional disabilities in rehabilitation setting.

Understanding and assessing the overall health of TBI’s can help these patients remain safe from falls and allow them to recover.